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Improving Heart Rate Measurement Accuracy by Reducing Artifact Noise from Finger Sensors Using Digital Filters Maghfiroh, Anita Miftahul; Soetjiatie, Liliek; Irianto, Bambang Guruh; Triwiyanto , Triwiyanto; Hidayanti, Nuril; Rizal, Achmad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 4 No. 2 (2022): May
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v4i2.144

Abstract

Heart rate is an important indicator in the health sector that can be used as an effective and rapid evaluation to determine the health status of the body. Motion or noise artifacts, power line interference, low amplitude PPG, and signal noise are all issues that might arise when measuring heart rate. This study aims to develop a digital filter that reduces noise artifacts on the finger sensor to improve heart rate measurement accuracy. Adaptive LMS and Butterworth are the two types of digital filters used in this research. In this study, data were collected from the patient while he or she was calm and moving around. In this research, the Nellcor finger sensor was employed to assess the blood flow in the fingers. The heart rate sensor will detect any changes in heart rate, and the measurement results will be presented on a personal computer (PC) as signals and heart rate values. The results of this investigation showed that utilizing an adaptive LMS filter and a Butterworth low pass filter with a cut-off frequency of 6Hz, order 4, and a sampling frequency of 1000Hz, with the Butterworth filter producing the least error value of 7.57 and adaptive LMS maximum error value of 27.65 as predicted by the researcher to eliminate noise artifacts. This research could be applied to other healthcare equipment systems that are being monitored to increase patient measurement accuracy.
Design an Occlusion Calibrator using XGZP6887 and Servo Motor MG966R as a Simulator Auliya, Rizki; Syaifudin, Syaifudin; Soetjiatie, Liliek
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 3 No. 1 (2021): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v3i1.193

Abstract

A foreign fluid that enters the patient can cause some bodily reactions including infection, air embolism and blood clot. Side effects given will be fatal to the body, one of which occurs the blockage of the capillary vessels in the heart that can cause heart attack to stroke. The purpose of this research is to design a tool that can be used to measure maximum pressure as a form of the calibration of the syringe pump and infusion pump. The contribution of this research is that the system can simulate the presence of blockages in fluid flow and detect large pressure values detected by the Under Test Unit (UUT) with a motor peer round system that opens/closes fluid flow. Servo Motor MG966R simulate the presence of blockage with constant motor degree until the alarm UUT reads, then Sensor XGZP6887 detects the pressure generated by the blockage and processed by the microcontroller and displayed on the LCD display of the character. This study resulted in a maximum pressure average value of 7.12 Psi. The results showed that data retrieval had an error value of -0.12. This research can be implemented to perform pressure measurements on the syringe pump or infusion pump.
Simple and Low Cost Design of Infusion Device Analyzer Based on Arduino Jannah, Nikmatul; Syaifudin, Syaifudin; Soetjiatie, Liliek; Ali, Muhammad Irfan
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 2 No. 2 (2020): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v2i2.229

Abstract

In the medical world, patient safety is a top priority. The number of workloads and frequency of use in the long term will affect the accuracy and precision of the equipment. Therefore calibration is needed, namely the measurement activities to determine the truth of the appointment value of measuring instruments and measuring materials based on the standards of the Minister of Health Regulation No. 54/2015. The purpose of this study is to design an infusion device analyzer to measure the flowrate parameter using the Arduino microcontroller. The main advantage of this study is that the system can display three calibration results in one measurement at the same setting. The results of the calibration will determine the feasibility of an infusion pump or a syringe pump. This study uses the flow rate formula, which is applied to the water level system to obtain the calibration results. The infrared photodiode sensor will detect the flow of water in the chamber that comes from the infusion or syringe pump. Furthermore, the sensor output will be processed by the microcontroller, and the reading results are displayed on the liquid crystal display. The average measurement at a setting of 10 ml/hour is 9.36 ml/hour, at a setting of 50 ml/hour is 46.64 ml/hour, and at a setting of 100 ml/hour is 96.04 ml/hour. Based on available data, this tool has an average error value of 5.69%, where the value exceeds the tolerance limit allowed by ECRI, which is ± 5%
Measuring Respiration Rate Based on Android Mahardika, I Kadek Eman Giyana; Hamzah, Torib; Rahmawati, Triana; Soetjiatie, Liliek
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 1 No. 1 (2019): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v1i1.241

Abstract

Respiratory rate measurement tool is a technique used to determine the number of respiratory activities a person every minute. In the classification of the number of breathing per minute which can be divided into three groups, namely the so-called eupnea/normal, above average breathing called tachypnea, while below the average so-called bradypnea. This method is highly dependent on the concentration of the mind and senses actor sensitivity measurement and observation. Therefore, human nature is easy to forget, tired and bored, so now developed a method of measurement or observation of respiratory rate electronically. In this study, respiratory rate measurement making use flex sensor by placing the sensor in the patient's stomach and will detect the curvature of the patient's stomach. Results from the patient's respiratory displayed on the LCD Character and android using HC-05 Bluetooth as the media sender. The results of the measurement data of the 10 respondents indicated the average - average error of 3.2%. After testing and data collection can be concluded that the appliance is eligible to use because it is still within the tolerance range of 10%